DeepSIP: A System for Predicting Service Impact of Network Failure by Temporal Multimodal CNN

24 Mar 2020Yoichi MatsuoTatsuaki KimuraKen Nishimatsu

When a failure occurs in a network, network operators need to recognize service impact, since service impact is essential information for handling failures. In this paper, we propose Deep learning based Service Impact Prediction (DeepSIP), a system to predict the time to recovery from the failure and the loss of traffic volume due to the failure in a network element using a temporal multimodal convolutional neural network (CNN)... (read more)

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